SUMMARY:

• Certified AWS and DevOps Engineer with around 2 years of professional IT experience in Cloud Engineering, DevOps and related technologies that includes work experience with Cloud (Amazon Web Services, Azure), Big Data (Hadoop, Spark), DevOps (Jenkins, Git, Puppet, Chef & Ansible), and Containers (Docker, Kubernetes).
• Good understanding of Software Development Life Cycle processes, Waterfall and Agile methodologies.
• Good understanding of Application Lifecycle Management, Change & Release Management and ITIL process.
• Experience working with Automated Release Management tools, Configuration Management tools, CI/CD pipeline, DevOps tools, Public Cloud Services and Big Data Ecosystem.
• Experience in configuring, deploying, operating, managing, administering and monitoring scalable, highly available and fault tolerant applications/systems in the data centers/on - premises and in the cloud.
• Possess leadership, crises management, critical thinking, problem solving and decision making skills.
• Major strengths are familiarity with multiple software systems, ability to learn new technologies quickly, adapt to new environments, self-motivated, team player and focused with excellent Interpersonal, Technical and Communication Skills.

TECHNICAL SKILLS:

Cloud: AWS (EC2, EC2 Container Service, Elastic Beanstalk, S3, EFS, Glacier, RDS, DynamoDB, Redshift, VPC, CloudFront, Direct Connect, Route53, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudWatch, CloudFormation, CloudTrail, OpsWorks, IAM, Directory Service, EMR, API Gateway, SQS, SNS, SES, ELB, EIP, SG), and Azure.

Big Data: Hadoop, YARN, Spark, Hive, Impala, Sqoop, AWS EMR, Cloudera Manager, Ambari.

Containers: Docker, Docker Swarm, CoreOS, Kubernetes, Vagrant.

Server Administration: RedHat Linux 6/7, Ubuntu, Unix, Windows Server 2012, 2016 .

CI/CD Automation: Jenkins, TeamCity, Bamboo, UrbanCode Deploy, AutoSys.

Configuration Management: Puppet, Chef, Ansible.

Log Analysis/Monitoring: Nagios, CloudWatch, Splunk, ELK Stack, Datadog.

Web/Application Server: Apache HTTPD, Apache Tomcat, JBoss, Nginx, WebSphere, IIS.

Network Protocols: SMTP, SNMP, ICMP, TCP/IP, FTP, TELNET, UDP and RIP.

DBMS/RDBMS/EDW: MySQL, MS SQL, Oracle, IBM DB2, IBM Netezza, AWS Redshift.

IDE: Eclipse IDE, IntelliJ IDEA, NetBeans IDE, MS Visual Studio, PyCharm, Notepad ++.

Version Control/SCM: SVN, Git (GitHub, GitLab, BitBucket), Team Foundation Server (TFS).

Languages/Scripting: Shell, Python, Ruby.

PROFESSIONAL EXPERIENCE:

Systems Engineer

Confidential, Houston, TX

Responsibilities:

• Involved in design, development and implementation of Hadoop POC to transition one of the complicated and vast on-premises data warehouse project to AWS Web Services. Architecture includes, but not limited to, AWS Elastic Map Reduce (EMR), AWS Lambda, Cloudera, Apache Spark, Apache Sqoop, Apache Hive, Apache Impala, PrestoDB, AirPal, Hue, IBM Netezza and AWS Redshift.
• Knowledge of Hadoop Administration using Cloudera Director, Cloudera Manager & Apache Ambari.
• Worked on AWS EC2 and its components, Instances (Spot, reserved and scheduled), AMI’s, Volumes, Snapshots, Security Groups, Elastic IPs, Placement Groups, Key Pairs, Elastic Load Balancers, Auto Scaling using CLI & Console.
• Knowledge of EC2 Container Service, Elastic Beanstalk and Amazon Web Services Lambda.
• Worked on AWS S3 and Bucket properties like Versioning, Logging, Static Website Hosting and Events. Managed permissions using Access Control List, Bucket Policy & CORS Configuration. Also worked on EFS & Glacier.
• Knowledge of Administration & troubleshooting of RDS, DynamoDB & Redshift.
• Worked on creation and troubleshooting of VPCs, Subnets, Route Tables, Internet Gateways, NAT Gateways, Peering Connections, Network ACLs, Security Groups using AWS Console and CLI.
• Worked on Identity & Access Management to create Groups, Users, Roles, Policies, Identity Federation & SSO.
• Knowledge of Administrating, Architecting & Troubleshooting of AWS Services like CloudFront, Direct Connect, Route53, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudWatch, CloudFormation, CloudTrail, OpsWorks, API Gateway, Simple Queue Service, Simple Notification Service, AWS CLI & Management Console.
• Knowledge of Containers like Docker & Vagrant and Container Orchestration using CoreOS, Kubernetes and ECS.
• Experience with Systems Administration & Troubleshooting on Linux/Unix and Windows Servers.
• Experience with Shell Scripting and Python Scripting. Knowledge of using Windows CMD and PowerShell Scripting.
• Knowledge of Web and Applications servers like Nginx, Apache HTTP, Tomcat, JBoss, WebSphere, IIS, etc.
• Knowledge of CI/CD tools like Jenkins, TeamCity, Bamboo, IBM UrbanCode and Hands-on experience with Jenkins.
• Knowledge of Configuration Management tools like Puppet, Chef and Ansible. Hands-on experience with Puppet and Chef.
• Knowledge of Log Management and Analysis tools like Nagios, Splunk, ElasticSearch - Logstash - Kibana (ELK Stack) and Datadog.
• Experience with Version Control system concepts like Branches, Merges, Tags, Checkout, Commit, etc., in Git and knowledge of SVN. Experience with Source Code Management tools like GitHub, BitBucket and GitLab. Knowledge of Visual Studio Team Foundation Server (TFS).
• Knowledge of API’s and developing Web Services like REST and SOAP.
• Experience with Shell & Python Scripting. Knowledge of Python, Java, .NET and Ruby.